Anaphora Resolution

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A01=Ruslan Mitkov
anaphoric
Anaphoric Pronouns
anaphors
Annotated Corpora
Annotation Scheme
Antecedent Indicators
Author_Ruslan Mitkov
automatic entity tracking in text
Category=CFG
Category=CFK
Category=CFX
Category=UYQL
computational linguistics
coreference
Coreference Resolution
Coreferential Chain
Coreferential Links
Critical Success Rate
Definite Noun Phrases
discourse
Discourse Entity
discourse processing
Discourse Referents
entity
eq_bestseller
eq_computing
eq_dictionaries-language-reference
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Inter-annotator Agreement
Lexical Noun Phrase
natural language understanding
Nominal Anaphora
noun
Noun Phrases
Part-of Speech Tagger
Partof Speech Tagger
phrases
Pleonastic Pronouns
POS Tag
POS Tagger
pragmatic inference
pronominal
Pronominal Anaphor
pronoun
Pronoun Resolution
pronouns
reference resolution methods
Reflexive Anaphor
Salience Weight
semantic analysis
Semantic Information

Product details

  • ISBN 9780582325050
  • Weight: 430g
  • Dimensions: 156 x 234mm
  • Publication Date: 14 Aug 2002
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Teaching computers to solve language problems is one of the major challenges

of natural language processing. There is a large amount of interesting research

devoted to this field. This book fills an existing gap in the literature with an

up-to-date survey of the field, including the author’s own contributions.

A number of different fields overlap in anaphora resolution – computational

linguistics, natural language processing (NLP), grammar, semantics, pragmatics,

discourse analysis and artificial intelligence. This book begins by introducing

basic notions and terminology, moving onto early research methods and

approaches, recent developments and applications, and future directions.

It addresses various issues related to the practical implementation of anaphora

systems, such as rules employed, algorithms implemented or evaluation

techniques used. This is an ideal reference book for students and researchers

in this particular area of computational linguistics.

Since anaphora resolution is vital for the development of any practical NLP

system, the book will be of interest to readers from both academia and

industry.

Dr. Ruslan Mitkov is Professor of Computational Linguistics and Language Engineering at the University of Wolverhampton. Ruslan Mitkov's publications and interests cover areas such as anaphora resolution, machine translation, automatic abstracting, centering, term extraction, question answering and computer-aided language learning

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